2015
DOI: 10.1088/0953-4075/48/7/075503
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Fast and stable manipulation of a charged particle in a Penning trap

Abstract: We propose shortcuts to adiabaticity which achieve fast and stable control of the state of a charged particle in an electromagnetic field. In particular we design a non-adiabatic change of the magnetic field strength in a Penning trap which changes the radial spread without final excitations. We apply a streamlined version of the fast-forward formalism as well as an invariant based inverse engineering approach. We compare both methods and examine their stability.

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Cited by 30 publications
(42 citation statements)
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“…Such shortcuts are fast processes with suppressed nonequilibrium excess energy [2,3], and apparently provide means to circumvent the second law in isolated systems [4][5][6]. Thus, a variety of techniques has been developed: using dynamical invariants [7], inversion of scaling laws [8], the fast-forward technique for Schrödinger [9][10][11][12][13][14] and Dirac dynamics [15], transitionless quantum driving [16][17][18][19], classical dissipationless driving [20,21], optimal protocols from optimal control theory [22][23][24][25][26][27][28], optimal driving from properties of the quantum work statistics [29], 'environment' assisted methods [30], using the properties of Lie algebras [31], and approximate methods such as linear response theory [5] and fast quasistatic dynamics [32].Among this plethora of techniques transitionless quantum driving (TQD) is unique. In its original formulation [16-18] one considers a time-dependent Hamiltonian H 0 (t) and constructs an additional counterdiabatic field, H 1 (t), such that the joint Hamiltonian H(t) = H 0 (t) + H 1 (t) drives the dynamics precisely through the adiabatic manifold of H 0 (t).…”
mentioning
confidence: 99%
“…Such shortcuts are fast processes with suppressed nonequilibrium excess energy [2,3], and apparently provide means to circumvent the second law in isolated systems [4][5][6]. Thus, a variety of techniques has been developed: using dynamical invariants [7], inversion of scaling laws [8], the fast-forward technique for Schrödinger [9][10][11][12][13][14] and Dirac dynamics [15], transitionless quantum driving [16][17][18][19], classical dissipationless driving [20,21], optimal protocols from optimal control theory [22][23][24][25][26][27][28], optimal driving from properties of the quantum work statistics [29], 'environment' assisted methods [30], using the properties of Lie algebras [31], and approximate methods such as linear response theory [5] and fast quasistatic dynamics [32].Among this plethora of techniques transitionless quantum driving (TQD) is unique. In its original formulation [16-18] one considers a time-dependent Hamiltonian H 0 (t) and constructs an additional counterdiabatic field, H 1 (t), such that the joint Hamiltonian H(t) = H 0 (t) + H 1 (t) drives the dynamics precisely through the adiabatic manifold of H 0 (t).…”
mentioning
confidence: 99%
“…The electromagnetic field investigated in Refs. [3,19] was not used to suppress the additional phase.…”
Section: )mentioning
confidence: 99%
“…Thus, to circumvent, mitigate, and suppress such finite-time excitations in controlled quantum processes, a wide variety of techniques has been developed. Among the most successful approaches are transitionless quantum driving [ 9 , 10 , 11 , 12 , 13 ], the fast-forward technique [ 14 , 15 , 16 , 17 ], and methods that rely on identifying the adiabatic invariants [ 18 , 19 , 20 , 21 ], to name just a few. For a comprehensive exposition of the field “shortcuts to adiabaticity”, we refer to recent reviews [ 22 , 23 ], a special collection of articles [ 24 ], and a perspective [ 25 ].…”
Section: Introductionmentioning
confidence: 99%